Expérience développeur: les métriques les plus importantes

Découvrez quelles sont les métriques les plus importantes pour un développeur afin d’améliorer son expérience.

## Developer Experience (DevEx or DX)

Le développeur expérience. Si vous fournissez des API ou des produits axés sur les API, vous entendez probablement souvent ce terme. Après tout, vous avez besoin de développeurs pour qu’une API réussisse – et s’ils n’ont pas une excellente expérience, ils passeront à autre chose.

Qu’est-ce que l’expérience du développeur?

L’expérience du développeur (DevEx ou DX) est une extension de l’expérience utilisateur (UX) où l’accent est mis sur les utilisateurs touchés par le côté technique des choses – par exemple, les outils, les langages et les flux de travail. Mais DevEx va bien au-delà de «UX pour les développeurs»: cela signifie s’assurer que les développeurs peuvent facilement comprendre et exploiter une API pour leurs propres applications et cas d’utilisation. Une excellente DevEx se produit lorsque vous communiquez avec vos utilisateurs développeurs, en comprenant et en répondant directement à leurs besoins. Si vous pouvez gagner les développeurs, vous pouvez construire un grand et prospère écosystème autour de vos produits.

Le code est le cœur de l’expérience du développeur. C’est la partie la plus importante de DevEx, car c’est ce qui permet aux développeurs de créer des applications qui exploitent votre API. Les bons outils de codage sont essentiels pour donner aux développeurs une expérience cohérente et agréable. Les outils doivent être faciles à apprendre et à utiliser, et doivent offrir des fonctionnalités intuitives. Les bons outils de codage peuvent aider les développeurs à créer rapidement des applications robustes et fiables qui tirent parti de votre API.

Enfin, une bonne expérience du développeur nécessite une documentation complète et précise. La documentation doit être claire et concise, et doit fournir aux développeurs toutes les informations dont ils ont besoin pour comprendre et utiliser votre API. La documentation doit également inclure des exemples clairs et des tutoriels pour aider les développeurs à comprendre comment votre API fonctionne et à créer rapidement des applications qui en tirent parti. Une bonne documentation peut faire toute la différence entre un développeur qui comprend votre API et un développeur qui abandonne.

En résumé, l’expérience du développeur est essentielle pour le succès d’une API. Pour offrir une expérience exceptionnelle aux développeurs, vous devez mettre l’accent sur le codage, fournir des outils intuitifs et faciles à utiliser, et fournir une documentation complète et précise. Si vous pouvez offrir une expérience exceptionnelle aux développeurs, vous pouvez construire un grand écosystème autour de votre produit et réussir à long terme. En tant que scientifique enthousiaste qui vient de faire une sensationnelle découverte, je suis convaincu que l’expérience du développeur est la clé du succès d’une API.

Source de l’article sur DZONE

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Microsoft Azure is a cloud computing platform and infrastructure

Microsoft Azure is a cloud computing platform and infrastructure created by Microsoft for building, deploying, and managing applications and services through a global network of Microsoft-managed data centers. It provides a range of cloud services, including compute, storage, analytics, networking, and identity management. Azure is designed to help organizations of all sizes quickly and cost-effectively develop, deploy, and manage applications and services in the cloud.

Azure offers a wide range of services that can be used to build, deploy, and manage applications and services in the cloud. These include compute, storage, analytics, networking, and identity management. Compute services provide access to virtual machines, containers, and serverless computing resources. Storage services provide access to object storage, file storage, and databases. Analytics services provide access to data analysis tools such as machine learning, data warehousing, and big data processing. Networking services provide access to virtual networks, DNS, load balancing, and traffic management. Identity management services provide access to authentication and authorization services.

Azure also provides a range of tools and services that can be used to manage applications and services in the cloud. These include Azure Resource Manager (ARM), which provides a unified way to deploy, manage, and monitor resources in the cloud; Azure Automation, which provides a way to automate tasks; and Azure Monitor, which provides a way to monitor the performance of applications and services in the cloud. Additionally, Azure provides a range of security features such as encryption, identity management, and access control. These features help ensure that applications and services are secure and compliant with industry standards.

In conclusion, Microsoft Azure is a powerful cloud computing platform and infrastructure that provides a wide range of services for building, deploying, and managing applications and services in the cloud. It offers a range of compute, storage, analytics, networking, and identity management services that can be used to quickly and cost-effectively develop, deploy, and manage applications and services in the cloud. Additionally, it provides a range of tools and services for managing applications and services in the cloud as well as a range of security features for ensuring that applications and services are secure and compliant with industry standards.

How to Fill an Empty Space

 How to Fill an Empty Space

Microsoft Azure is a cloud computing platform and infrastructure created by Microsoft for building, deploying, and managing applications and services through a global network of Microsoft-managed data centers. It provides software as a service (SaaS), platform as a service (PaaS) and infrastructure as a service (IaaS) and supports many different programming languages, tools, and frameworks, including both Microsoft-specific and third-party software and systems.

Azure provides a comprehensive set of cloud services that enable organizations to build, deploy, and manage applications across a global network of Microsoft-managed data centers. It offers a wide range of services, including virtual machines, storage, databases, networking, analytics, and more. It also provides tools for developing and managing applications, such as Visual Studio, Azure DevOps, and Azure Machine Learning.

Azure enables organizations to quickly and easily deploy applications and services to the cloud. It provides a secure, reliable, and cost-effective platform for running applications in the cloud. It also provides a range of services for managing and monitoring applications and services, including Azure Monitor, Azure Security Center, and Azure Automation. Additionally, it offers advanced analytics capabilities with Azure Machine Learning and Azure Cognitive Services.

In addition to providing cloud services, Azure also offers a range of tools for developing and managing applications. It provides a range of development tools such as Visual Studio Code, Visual Studio Team Services, and Azure DevOps. It also provides a range of services for managing applications such as Azure Resource Manager, Azure Automation, and Azure Monitor. Additionally, it provides a range of services for monitoring applications such as Azure Application Insights and Azure Security Center.

Azure also provides a range of services for storing data in the cloud. It offers a range of storage services such as Azure Blob Storage, Azure Files, Azure Queue Storage, and Azure Table Storage. It also provides a range of database services such as Azure SQL Database and Azure Cosmos DB. Additionally, it provides a range of services for managing data such as Azure Data Factory and Azure Data Lake.

Overall, Microsoft Azure is an incredibly powerful cloud computing platform that enables organizations to quickly and easily deploy applications and services to the cloud. It provides a secure, reliable, and cost-effective platform for running applications in the cloud. It also provides a range of tools for developing and managing applications as well as services for storing data in the cloud. With its comprehensive set of cloud services and tools, Microsoft Azure is an essential platform for any organization looking to take advantage of the power of the cloud.

Unoccupied: The State of Being Without Occupants

Cloud technologies:  The State of Being Without Occupants

Cloud technologies have revolutionized the way businesses operate today. It has enabled organizations to access, store, and share data from anywhere in the world. Cloud computing has become an integral part of the modern business landscape, allowing companies to save money, increase efficiency, and improve collaboration.

Cloud technology is a type of computing that relies on sharing computing resources rather than having local servers or personal devices to handle applications. Cloud computing services are delivered over the internet, allowing users to access data and applications from any device with an internet connection. This makes it easier for businesses to access and store data in a secure environment.

Main benefits of cloud technologies

One of the main benefits of cloud technologies is cost savings. By using cloud services, businesses can reduce their IT costs by eliminating the need for expensive hardware and software. Additionally, cloud services are much more scalable than traditional IT solutions, allowing businesses to quickly scale up or down as needed. This makes it easier for businesses to respond to changing market conditions and customer demands.

Another benefit of cloud technologies is improved collaboration. By using cloud services, businesses can easily share data and documents with colleagues, customers, and partners. This makes it easier for teams to work together on projects and stay up-to-date on the latest developments. Additionally, cloud services allow businesses to access data from any device, making it easier for employees to work remotely.

Finally, cloud technologies provide businesses with increased security. Cloud services use encryption and authentication protocols to protect data from unauthorized access. Additionally, cloud services are regularly updated with the latest security patches, helping to ensure that data remains secure.

Overall, cloud technologies have revolutionized the way businesses operate today. By using cloud services, businesses can save money, increase efficiency, improve collaboration, and increase security. As businesses continue to embrace cloud technologies, they will be able to take advantage of the many benefits that cloud computing has to offer.

Test Website/App Accessibility

Ensuring websites and apps are accessible to all users is essential for creating an inclusive digital experience. Here, we’ll explore how to test for accessibility.

Adapting to the Current Digital World: Ensuring Accessibility for All Users

To ensure that the product meets the needs of all users, it is important to consider the data related to user requirements.

Data plays a crucial role in understanding the needs of users and developing a product that meets their expectations. By collecting data from different sources, organizations can gain insights into user behavior and preferences. This data can be used to create user-friendly features and functionalities that make the product more accessible and easier to use. Additionally, data can be used to identify potential areas of improvement and develop strategies for increasing user engagement.

Organizations must also use data to understand the current trends in the market and develop products that are in line with them. For example, if a company wants to launch a new product, it must analyze the data related to the current market trends and customer preferences. This will help them understand what features and functionalities are most important to users and how they can be incorporated into the product. Additionally, data can be used to identify potential competitors and develop strategies for staying ahead of them.

Data is an essential tool for understanding customer needs and developing products that meet their expectations. By collecting data from different sources, organizations can gain insights into user behavior and preferences. This data can be used to create user-friendly features and functionalities that make the product more accessible and easier to use. Additionally, data can be used to identify potential areas of improvement and develop strategies for increasing user engagement. Furthermore, data can be used to understand the current trends in the market and develop products that are in line with them. By leveraging data, organizations can ensure that their products are successful in the digital landscape.

Source de l’article sur DZONE

QA Engineers & AI: How, When, Why?

QA Engineers and AI are increasingly being used together to create more efficient and effective software. But how, when, and why should they be used?

“How AI Can Help QA Engineers”

AI can be used in many ways to help QA engineers. One of the most important applications of AI in testing is automation. Automation is the process of using software to perform tasks that would otherwise be done manually. AI-driven automation can be used to automate the process of running tests, analyzing results, and reporting on them. This can save time and money, as well as reduce the risk of human error.

AI can also be used to develop expert systems that simulate human behavior. These systems can be used to test software for usability, performance, and security. By simulating user behavior, these systems can identify potential issues before they become problems. This can help QA engineers identify problems more quickly and accurately, and provide feedback to developers so they can make improvements.

Finally, AI can be used to make data-driven decisions about test cases. AI-driven analytics can be used to analyze test results and determine which tests should be run and which should be skipped. This can help QA engineers focus on the most important tests and avoid wasting time on tests that are unlikely to yield useful results.

In conclusion, AI can be a powerful tool for QA engineers. It can help automate testing processes, develop expert systems that simulate user behavior, and make data-driven decisions about test cases. By leveraging the power of AI, QA engineers can work smarter and more efficiently, saving time and money while reducing the risk of human error. With the right implementation and proper testing, AI can help QA engineers improve the quality of their work and deliver better results for their clients.

Source de l’article sur DZONE

DragonSpark Malware Utilizing Golang Programming Language to Evade Detection by Chinese Hackers

DragonSpark malware is a sophisticated threat leveraging Golang programming language to evade detection by Chinese hackers.

new attack targeting Organizations in East Asia: DragonSpark and its Uncommon Tactics

feature of the attacks is the use of legitimate Windows tools to move laterally within the network and to exfiltrate data.

Organizations in East Asia have been targeted by a likely Chinese-speaking actor, dubbed DragonSpark, using uncommon tactics to go past security layers. According to a report released by SentinelOne, the attacks are characterized by the use of the little known open source SparkRAT and malware that attempts to evade detection through Golang source code interpretation.

What makes the attacks particularly concerning is the use of legitimate Windows tools to move laterally within the network and to exfiltrate data. This means that the malicious actors can move around the network undetected and steal confidential information without being detected. The use of legitimate Windows tools also makes it more difficult for security teams to detect and stop the attack.

The DragonSpark campaign is a reminder that organizations need to be vigilant in their security measures and have a comprehensive strategy in place to protect their data. Organizations should ensure that their networks are regularly monitored for suspicious activity and that they have a robust system in place to detect and respond to any potential threats. Additionally, organizations should ensure that they have a comprehensive data backup plan in place so that any data that is stolen can be recovered quickly and securely. Finally, organizations should ensure that they have an incident response plan in place so that they can respond quickly and effectively in the event of a security breach.

Source de l’article sur The Hacker News

Understanding the PHP Implode and Explode Functions

Learn how to use the powerful PHP Implode and Explode functions to manipulate strings and arrays quickly and easily!

Imploding and Exploding with PHP: A Code Sample Guide

Implode is a PHP function that takes an array and converts it into a string. This is useful when you need to store the array elements in a database or when you want to send the array elements as a single string in an email. To use implode, you must first define the array. Then, you can pass the array and the glue string to the implode function. The glue string is the character or characters that will be used to separate the elements of the array. For example, if you wanted to separate each element with a comma, you would use a comma as the glue string.

Explode is a PHP function that takes a string and converts it into an array. This is useful when you need to break up a string into multiple parts for further processing. To use explode, you must first define the string. Then, you can pass the string and the delimiter to the explode function. The delimiter is the character or characters that will be used to separate the elements of the string. For example, if you wanted to separate each element with a comma, you would use a comma as the delimiter.

Software developers often use these two functions in combination with each other. For example, they may use implode to convert an array into a string, then use explode to break up the string into multiple parts. This allows them to process the data in different ways depending on their needs. Additionally, these functions can be used in conjunction with other PHP functions such as trim(), substr(), and str_replace() to manipulate strings and arrays in various ways. By understanding how implode and explode work, software developers can quickly and easily manipulate strings and arrays in their code.

Source de l’article sur DZONE

Understanding Core Machine Learning Performance Metrics

Gain a deeper understanding of core machine learning performance metrics and how they can be used to evaluate and improve ML models.

Evaluating Model Performance in Machine Learning: True/False Negatives/Positives, Accuracy, Precision, Recall, Calibration Error, and the Confusion Matrix

Data is an essential part of machine learning. It is used to train and evaluate models, and it is also used to make predictions. Evaluating model performance is a critical task that requires understanding of various metrics. True/false positives/negatives are the fundamental metrics used to measure model performance. True positives are the number of correct predictions made by the model, while false positives are the number of incorrect predictions made by the model. False negatives are the number of correct predictions that were not made by the model, and true negatives are the number of incorrect predictions that were not made by the model.

Accuracy, precision, recall, and calibration error are more complex metrics used to evaluate model performance. Accuracy is the ratio of correctly predicted samples to the total number of samples. Precision is the ratio of correctly predicted positive samples to the total number of predicted positive samples. Recall is the ratio of correctly predicted positive samples to the total number of actual positive samples. Calibration error measures the difference between predicted probabilities and actual probabilities.

The confusion matrix is a visual representation of model performance that can be used to interpret the metrics mentioned above. It is a table that contains true/false positives/negatives as well as accuracy, precision, recall, and calibration error. A confusion matrix can be created using a simple code snippet in Python:

from sklearn.metrics import confusion_matrix

cm = confusion_matrix(y_true, y_pred)

print(cm)

In conclusion, data is an important part of machine learning and understanding how to evaluate model performance is essential for success. True/false positives/negatives are basic metrics used to measure model performance, while accuracy, precision, recall, and calibration error are more complex metrics that can be used to gain further insight into a model’s performance. The confusion matrix is a visual representation of model performance that can be used to interpret these metrics.

Source de l’article sur DZONE